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This project analyzes coffee sales data using an interactive Excel dashboard. The goal was to identify trends by roast type, package size, customer behavior, and region. Users can filter the data to uncover insights such as seasonal sales patterns, top customers, and the impact of loyalty programs.
Technologies Used:
Excel (Formulas, Pivot Tables, Slicers, Timeline)
Key Features:
Filter by Order Date, Roast Type, Package Size, and Loyalty Card
Visuals include:
📈 Sales Over Time (by coffee origin)
🗺️ Sales by Country
⭐ Top 5 Customers
Interactive slicers and timeline for dynamic data exploration
GitHub:
Page updated
Google Sites
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